Sundarraman Subramanian
Sundarraman Subramanian
Associate Professor, Mathematical Sciences
210 E Cullimore Hall (CULM)
About Me
An academician committed to instruction across all levels of the curriculum, including PhD supervision, in statistics, probability, and stochastic processes. A researcher involved continually in the pursuit of scholarship (33 refereed papers in academic journals, including 17 single-authored). An able communicator adept at advising for the MS program in Biostatistics at NJIT.
Education
M.S.; Florida State University; ; 1995
Ph.D.; Florida State University; Statistics; 1995
M.S.; Madras Christian College, India; ; 1983
Ph.D.; Florida State University; Statistics; 1995
M.S.; Madras Christian College, India; ; 1983
Website
2024 Fall Courses
MATH 244 - INTRO TO PROBABILITY THEORY
MATH 792B - PRE DOCTORAL RESEARCH
MATH 790A - DOCT DISSERTATION & RES
MATH 659 - SURVIVAL ANALYSIS
MATH 792B - PRE DOCTORAL RESEARCH
MATH 790A - DOCT DISSERTATION & RES
MATH 659 - SURVIVAL ANALYSIS
Teaching Interests
Distribution theory
Statistical Inference
Mathematical Statistics
Probability theory
Stochastic processes
Survival Analysis
Stochastic Simulation
Regression Methods
Generalized Linear Models
Statistical Inference
Mathematical Statistics
Probability theory
Stochastic processes
Survival Analysis
Stochastic Simulation
Regression Methods
Generalized Linear Models
Past Courses
MATH 225: SURVEY OF PROB & STATS
MATH 225: SURVEY OF PROB AND STATS
MATH 244: INT TO PROBABLITY THEORY
MATH 244: INTRODUCTION TO PROBABILITY THEORY
MATH 279: STATS &PROBABILITY FOR ENGR
MATH 341: STATISTICAL METHODS II
MATH 341: STATS METHODS I
MATH 344: REGRESSION ANALYSIS
MATH 345: MULTIVARIATE DISTRIBUTIONS
MATH 448: STOCHASTIC SIMULATION
MATH 477: STOCHASTIC PROCESSES
MATH 644: REGRESSION ANALYSIS METH
MATH 659: SURVIVAL ANALYSIS
MATH 661: APPLIED STATISTICS
MATH 663: INTRODUCTION TO BIOSTATISTICS
MATH 664: METHODS FOR STAT CONSULT
MATH 665: STATISTICAL INFERENCE
MATH 666: SIMULATION FOR STOCHASTIC SYSTEMS
MATH 691: STOCHASTIC PROCESSES
MATH 698: SAMPLING THEORY
MATH 707: ST:GENERALIZED LINEAR MODELS
MATH 710: GRADUATE RESEARCH METHOD
MATH 710: GRADUATE RESEARCH METHODS
MATH 768: PROBABILITY THEORY
MATH 786: LARGE SAMPLE THEORY & INFRNCE
MATH 225: SURVEY OF PROB AND STATS
MATH 244: INT TO PROBABLITY THEORY
MATH 244: INTRODUCTION TO PROBABILITY THEORY
MATH 279: STATS &PROBABILITY FOR ENGR
MATH 341: STATISTICAL METHODS II
MATH 341: STATS METHODS I
MATH 344: REGRESSION ANALYSIS
MATH 345: MULTIVARIATE DISTRIBUTIONS
MATH 448: STOCHASTIC SIMULATION
MATH 477: STOCHASTIC PROCESSES
MATH 644: REGRESSION ANALYSIS METH
MATH 659: SURVIVAL ANALYSIS
MATH 661: APPLIED STATISTICS
MATH 663: INTRODUCTION TO BIOSTATISTICS
MATH 664: METHODS FOR STAT CONSULT
MATH 665: STATISTICAL INFERENCE
MATH 666: SIMULATION FOR STOCHASTIC SYSTEMS
MATH 691: STOCHASTIC PROCESSES
MATH 698: SAMPLING THEORY
MATH 707: ST:GENERALIZED LINEAR MODELS
MATH 710: GRADUATE RESEARCH METHOD
MATH 710: GRADUATE RESEARCH METHODS
MATH 768: PROBABILITY THEORY
MATH 786: LARGE SAMPLE THEORY & INFRNCE
Research Interests
Survival data analysis
Bootstrap
Efficient estimation in non- and semi-parametric models
Model checks and dimension reduction for location-scale
Empirical likelihood
Empirical processes
Large sample theory
Probability
Stochastic Processes
Bootstrap
Efficient estimation in non- and semi-parametric models
Model checks and dimension reduction for location-scale
Empirical likelihood
Empirical processes
Large sample theory
Probability
Stochastic Processes
Journal Article
Javidialsaadi, Atefeh, & Mondal, Shoubhik, & Subramanian, Sundarraman (2023). Model checks for two-sample location and scale. Journal of Nonparametric Statistics/Taylor and Francis, To be determined(To be determined), 31 pages.
Subramanian, Sundarraman (2022). Simultaneous confidence bands for survival functions from twice censorship. Statistics and Probability Letters/Elsevier, 186(July), Article 109494, 11 pages.
Subramanian, Sundarraman (2021). Median regression from twice censored data. Statistics and Probability Letters/Elsevier, 168 , Article 108955, 10 pages.
Subramanian, Sundarraman (2020). Function-based hypothesis testing in censored location-scale models. Lifetime Data Analysis/Springer, 27(1), 183-213 (31 pages).
Ahmed, Nubyra, & Subramanian, Sundarraman (2016). Semiparametric simultaneous confidence bands for the difference of survival functions. Lifetime Data Analysis/Springer, 22, 504-530 (27 pages).
Subramanian, Sundarraman (2022). Simultaneous confidence bands for survival functions from twice censorship. Statistics and Probability Letters/Elsevier, 186(July), Article 109494, 11 pages.
Subramanian, Sundarraman (2021). Median regression from twice censored data. Statistics and Probability Letters/Elsevier, 168 , Article 108955, 10 pages.
Subramanian, Sundarraman (2020). Function-based hypothesis testing in censored location-scale models. Lifetime Data Analysis/Springer, 27(1), 183-213 (31 pages).
Ahmed, Nubyra, & Subramanian, Sundarraman (2016). Semiparametric simultaneous confidence bands for the difference of survival functions. Lifetime Data Analysis/Springer, 22, 504-530 (27 pages).
SHOW MORE
Subramanian, Sundarraman (2016). Bootstrap likelihood ratio confidence bands for survival functions under random censorship and its semiparametric extension. Journal of Multivariate Analysis/Elsevier, 147, 58-81 (24 pages).
Mondal, Shoubhik, & Subramanian, Sundarraman (2016). Simultaneous confidence bands for Cox regression from semiparametric random censorship. Lifetime Data Analysis/Springer, 22(1), 122-144.
Bhattacharya, Rianka, & Subramanian, Sundarraman (2014). Two-sample location-scale estimation from semiparametric random censorship models. Journal of Multivariate Analysis/Elsevier, 132, 25-38.
Mondal, Shoubhik, & Subramanian, Sundarraman (2013). Model assisted Cox regression. Journal of Multivariate Analysis/Elsevier, 123(1), 181-303.
Subramanian, Sundarraman, & Zhang, Peixin (2013). Model-based confidence bands for survival functions. Journal of Statistical Planning and Inference/Elsevier, 143(7), 1166-1185.
Dikta, Gerhard, & Subramanian, Sundarraman, & Winkler, Thorsten (2013). Bootstrap based model checks with missing binary response data. Statistics and Probability Letters/Elsevier, 83(1), 219-226.
Subramanian, Sundarraman (2012). Model-based likelihood ratio confidence intervals for survival functions. Statistics and Probability Letters/Elsevier, 82(3), 626-635.
Subramanian, Sundarraman (2011). Multiple imputations and the missing censoring indicator model. Journal of Multivariate Analysis/Elsevier, 102, 105-117.
Subramanian, Sundarraman, & Bandyopadhyay, Dipankar (2010). Doubly robust semiparametric estimation for the missing censoring indicator model. Statistics & Probability Letters/Elsevier, 80, 621-630.
Subramanian, Sundarraman, & Dikta, Gerhard (2009). Inverse censoring weighted median regression. Statistical Methodology/Elsevier, 6, 594-603.
Subramanian, Sundarraman (2009). The multiple imputations based Kaplan-Meier estimator. Statistics & Probability Letters/Elsevier, 79(18), 1906-1914.
Subramanian, Sundarraman, & Bean, Derek (2008). The missing censoring indicator model and the smoothed bootstrap. Computational Statistics and Data Analysis, Elsevier, 53(2), 471-476.
Subramanian, Sundarraman, & Bean, Derek (2008). Hazard function estimation from homogeneous right censored data with missing censoring indicators. Statistical Methodology, Elsevier, 5(6), 515-527.
Subramanian, Sundarraman, & Bandyopadhyay, Dipankar (2008). Semiparametric left truncation and right censorship models with missing censoring indicators. Statistics and Probability Letters, Elsevier, 78(16), 2572-2577.
Subramanian, Sundarraman (2007). Censored median regression and profile empirical likelihood. Statistical Methodology, 4(4),
Subramanian, Sundarraman (2007). Median regression analysis from data with left and right censored observations. Statistical Methodology, 4(2), 121-131.
Subramanian, Sundarraman (2006). Survival analysis for the missing censoring indicator model using kernel density estimation techniques. Statistical Methodology, 3(2), 125-136.
Subramanian, Sundarraman (2004). A correction note on "semiparametric transformation models and the missing information principle". Journal of Statistical Planning and Inference, 126(1), 397-399.
Subramanian, Sundarraman (2004). Survival-rate regression using kernel conditional Kaplan–Meier estimators. Journal of Statistical Planning and Inference, 123(1), 187-205.
Subramanian, Sundarraman (2004). Asymptotically efficient estimation of a survival function in the missing censoring indicator model. Journal of Nonparametric Statistics, 16(5), 797-817.
Subramanian, Sundarraman (2003). The missing censoring-indicator model of random censorship. Handbook of Statistics, 23, 123-141.
Subramanian, Sundarraman (2003). Semiparametric transformation models and the missing information principle. Journal of Statistical Planning and Inference, 115(1), 327-348.
Subramanian, Sundarraman (2002). Median regression using nonparametric kernel estimation. Journal of Nonparametric Statistics, 14(5), 583-605.
Subramanian, Sundarraman (2001). Parameter estimation in regression for long-term survival rate from censored data. Journal of Statistical Planning and Inference, 99(2), 211-222.
McKeague, Ian, & Subramanian, Sundarraman, & Sun, Yanqing (2001). Median regression and the missing information principle. Journal of Nonparametric Statistics, 13(5), 709-727.
Subramanian, Sundarraman (2000). Efficient estimation of regression coefficients and baseline hazard under proportionality of conditional hazards. Journal of Statistical Planning and Inference, 84(1-2), 81-94.
McKeague, Ian, & Subramanian, Sundarraman (1998). Product-limit Estimators and Cox Regression with Missing Censoring Information. Scandinavian Journal of Statistics, 25(4), 589-601.
Gupta, Ramesh, & Subramanian, Sundarraman (1998). Estimation of reliability in a bivariate normal distribution with equal coefficients of variation. Communications in Statistics Part B: Simulation and Computation, 27(3), 675-698.
Mondal, Shoubhik, & Subramanian, Sundarraman (2016). Simultaneous confidence bands for Cox regression from semiparametric random censorship. Lifetime Data Analysis/Springer, 22(1), 122-144.
Bhattacharya, Rianka, & Subramanian, Sundarraman (2014). Two-sample location-scale estimation from semiparametric random censorship models. Journal of Multivariate Analysis/Elsevier, 132, 25-38.
Mondal, Shoubhik, & Subramanian, Sundarraman (2013). Model assisted Cox regression. Journal of Multivariate Analysis/Elsevier, 123(1), 181-303.
Subramanian, Sundarraman, & Zhang, Peixin (2013). Model-based confidence bands for survival functions. Journal of Statistical Planning and Inference/Elsevier, 143(7), 1166-1185.
Dikta, Gerhard, & Subramanian, Sundarraman, & Winkler, Thorsten (2013). Bootstrap based model checks with missing binary response data. Statistics and Probability Letters/Elsevier, 83(1), 219-226.
Subramanian, Sundarraman (2012). Model-based likelihood ratio confidence intervals for survival functions. Statistics and Probability Letters/Elsevier, 82(3), 626-635.
Subramanian, Sundarraman (2011). Multiple imputations and the missing censoring indicator model. Journal of Multivariate Analysis/Elsevier, 102, 105-117.
Subramanian, Sundarraman, & Bandyopadhyay, Dipankar (2010). Doubly robust semiparametric estimation for the missing censoring indicator model. Statistics & Probability Letters/Elsevier, 80, 621-630.
Subramanian, Sundarraman, & Dikta, Gerhard (2009). Inverse censoring weighted median regression. Statistical Methodology/Elsevier, 6, 594-603.
Subramanian, Sundarraman (2009). The multiple imputations based Kaplan-Meier estimator. Statistics & Probability Letters/Elsevier, 79(18), 1906-1914.
Subramanian, Sundarraman, & Bean, Derek (2008). The missing censoring indicator model and the smoothed bootstrap. Computational Statistics and Data Analysis, Elsevier, 53(2), 471-476.
Subramanian, Sundarraman, & Bean, Derek (2008). Hazard function estimation from homogeneous right censored data with missing censoring indicators. Statistical Methodology, Elsevier, 5(6), 515-527.
Subramanian, Sundarraman, & Bandyopadhyay, Dipankar (2008). Semiparametric left truncation and right censorship models with missing censoring indicators. Statistics and Probability Letters, Elsevier, 78(16), 2572-2577.
Subramanian, Sundarraman (2007). Censored median regression and profile empirical likelihood. Statistical Methodology, 4(4),
Subramanian, Sundarraman (2007). Median regression analysis from data with left and right censored observations. Statistical Methodology, 4(2), 121-131.
Subramanian, Sundarraman (2006). Survival analysis for the missing censoring indicator model using kernel density estimation techniques. Statistical Methodology, 3(2), 125-136.
Subramanian, Sundarraman (2004). A correction note on "semiparametric transformation models and the missing information principle". Journal of Statistical Planning and Inference, 126(1), 397-399.
Subramanian, Sundarraman (2004). Survival-rate regression using kernel conditional Kaplan–Meier estimators. Journal of Statistical Planning and Inference, 123(1), 187-205.
Subramanian, Sundarraman (2004). Asymptotically efficient estimation of a survival function in the missing censoring indicator model. Journal of Nonparametric Statistics, 16(5), 797-817.
Subramanian, Sundarraman (2003). The missing censoring-indicator model of random censorship. Handbook of Statistics, 23, 123-141.
Subramanian, Sundarraman (2003). Semiparametric transformation models and the missing information principle. Journal of Statistical Planning and Inference, 115(1), 327-348.
Subramanian, Sundarraman (2002). Median regression using nonparametric kernel estimation. Journal of Nonparametric Statistics, 14(5), 583-605.
Subramanian, Sundarraman (2001). Parameter estimation in regression for long-term survival rate from censored data. Journal of Statistical Planning and Inference, 99(2), 211-222.
McKeague, Ian, & Subramanian, Sundarraman, & Sun, Yanqing (2001). Median regression and the missing information principle. Journal of Nonparametric Statistics, 13(5), 709-727.
Subramanian, Sundarraman (2000). Efficient estimation of regression coefficients and baseline hazard under proportionality of conditional hazards. Journal of Statistical Planning and Inference, 84(1-2), 81-94.
McKeague, Ian, & Subramanian, Sundarraman (1998). Product-limit Estimators and Cox Regression with Missing Censoring Information. Scandinavian Journal of Statistics, 25(4), 589-601.
Gupta, Ramesh, & Subramanian, Sundarraman (1998). Estimation of reliability in a bivariate normal distribution with equal coefficients of variation. Communications in Statistics Part B: Simulation and Computation, 27(3), 675-698.
COLLAPSE
Chapter
Subramanian, Sundarraman, & Zhang, Peixin (2011). The Inverse Censoring Weighted Approach for Estimation of Survival Functions From Left and Right Censored Data, M.C. Bhattacharjee, S.K. Dhar, and S. Subramanian (Eds.), Recent Advances in Biostatistics. False Discovery Rates, Survival Analysis, and Related Topics/World Scientific. (pp. 191-206). Singapore: Recent Advances in Biostatistics. False Discovery Rates, Survival Analysis, and Related Topics/World Scientific